naver-webtoon-faces VS pytorch-generative

Compare naver-webtoon-faces vs pytorch-generative and see what are their differences.

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naver-webtoon-faces pytorch-generative
4 1
290 403
- -
1.8 3.4
almost 3 years ago 8 months ago
Jupyter Notebook Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

naver-webtoon-faces

Posts with mentions or reviews of naver-webtoon-faces. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-08.

pytorch-generative

Posts with mentions or reviews of pytorch-generative. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing naver-webtoon-faces and pytorch-generative you can also consider the following projects:

pix2pix - Image-to-image translation with conditional adversarial nets

gansformer - Generative Adversarial Transformers

ru-dalle - Generate images from texts. In Russian

animegan2-pytorch - PyTorch implementation of AnimeGANv2

TargetCLIP - [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

LLVIP - LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

vq-vae-2-pytorch - Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

SOAT - Official PyTorch repo for StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN.

score_sde - Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

smaller-transformers - Load What You Need: Smaller Multilingual Transformers for Pytorch and TensorFlow 2.0.